Data Platform Engineer II — AI & Ops Analytics

Amazon; Austin (TX); Sur place; USD 132 000 - 179 000; Plein temps

Avantages offerts par ce poste

Health insurance

RSUs

401(k) matching

Résumé du poste

Amazon is seeking a Data Engineer in Austin, TX to build scalable data platforms powering analytics, ML, and AI across its global fulfillment network. You will design high-performance data pipelines, create trusted data products, and collaborate with Solution Architects, Data Scientists, and BI Engineers to transform complex operational data into intelligence for people and AI systems.

You will help advance data engineering practices, including data quality, observability, lineage, contracts,

Qualifications

• 3+ years of data engineering experience.
• 1+ years developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with Python in a data engineering environment, including building data processing pipelines, automation, and testing

Responsabilités

• Build scalable data pipelines and platforms that transform complex operational data into trusted, AI ready data products.
• Power AI agents, machine learning systems, and intelligent automation with reliable data, context, and semantic layers.
• Develop batch and streaming architectures that deliver timely operational signals for analytics, detection, diagnosis, and decision making.
• Create reusable datasets and data products that support analytics, experimentation, production models, and operational applications.
• Build feature pipelines, training datasets, and production workflows that connect data engineering with machine learning and AI.
• Improve platform reliability through automated data quality, observability, lineage, testing, and anomaly detection.
• Design semantic models and metrics that give operators, leaders, analysts, and AI systems a consistent understanding of the business.
• Partner with Data Scientists, ML Engineers, Business Intelligence Engineers, Solution Architects, Program Managers, and operations teams to deliver measurable business impact.
• Raise the engineering bar by improving scalability, maintainability, governance, and development standards across OpsTech.
• Explore emerging data and AI technologies and help shape the next generation of OpsTech data platforms.

Connaissances

Data engineering

ETL/ELT pipelines

Python

Data modeling

Warehousing

Formation

Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics

Outils

AWS Redshift

S3

AWS Glue

EMR

Kinesis

Lambda

IAM

Description du poste

Amazon is seeking a Data Engineer in Austin, TX to build scalable data platforms powering analytics, ML, and AI across its global fulfillment network. You will design high-performance data pipelines, create trusted data products, and collaborate with Solution Architects, Data Scientists, and BI Engineers to transform complex operational data into intelligence for people and AI systems.

You will help advance data engineering practices, including data quality, observability, lineage, contracts,